MIDAS Catalog

MIDAS

Created by Ajitesh Srivastava, Frost Tianjian Xu and Viktor K. Prasanna
Description:

The epidemic model called SI-kJalpha is used on this website to see forecasts for new weekly and cumulative cases and deaths for all locations for which Google makes its data public. The data is noisy for some regions with decreasing cumulative values and missing values. In some cases, the forecast for a region may be lower than one of its sub-region which could be a result of less availabiltiy and more noise at the sub-region level. In that case, the sub-region data and forecast are less reliable, yet not impossible, and may point toward possible new outbreaks.

Preview:
https://scc-usc.github.io/ReCOVER-COVID-19/#/row

This site was available on the date of the last automated link check. (2025/06/16)

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IdentifierURL:https://scc-usc.github.io/ReCOVER-COVID-19/#/row
Typedata set
Biological Scalepopulation
Collection End Date
LanguageEnglish
Topics
  • case counts
    • mortality data
  • disease
    • infectious disease
      • COVID-19
  • host organism
    • Homo sapiens
  • modeling
    • modeling method
      • compartmental models
    • modeling purpose
      • forecasting
  • pathogen
    • Severe acute respiratory syndrome coronavirus 2
Geographical ScopeEarth
Geographical ResolutionCountry, First-order administrative division, Second-order administrative division
Start Date
End Date
Versionunspecified
Accessible For FreeTRUE
Licenseunspecified
Rightsunspecified
HTTP Status Code200
HTTP Checked On2025/06/16